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公开(公告)号:US20250111382A1
公开(公告)日:2025-04-03
申请号:US18478435
申请日:2023-09-29
Applicant: Cisco Technology, Inc.
Inventor: Quynhnhu Doan , Anna Bennett , Davide Pacifico , Chris Adams
IPC: G06Q30/018 , H04L9/40
Abstract: Described herein are devices, systems, methods, and processes for assessing and managing the carbon footprint of information technology (IT) infrastructures. The system can utilize distributed public key infrastructure (PKI) to ensure data security, trustworthiness, and anonymity. It may provide real-time, accurate, and comprehensive data on the carbon footprint of the entire infrastructure, enabling administrators to make informed decisions based on live, aggregated, and anonymized power consumption data and carbon footprint metrics. The system can also support the management of carbon-related metrics during processes such as device migration or infrastructure renewal. Furthermore, it can enable various stakeholders, including IT infrastructure owners, auditors, and generic users, to access and analyze the data based on their specific roles and permissions. This approach can enhance the transparency and accountability of IT operations, contributing to environmental sustainability efforts in the IT industry.
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公开(公告)号:US20240414071A1
公开(公告)日:2024-12-12
申请号:US18332153
申请日:2023-06-09
Applicant: Cisco Technology, Inc.
Inventor: Quynhnhu Doan , Chris Adams , Davide Pacifico , Anna Bennett
Abstract: Devices, systems, methods, and processes for sustainably deploying serverless functions across the globe are described herein. Often, when considering sustainability options for cloud-based service providers that can accept and operate serverless functions from various sources, the power source type can be considered. In many cases, solar-powered power sources can be desired, but is only available during the day. Thus, it may be desirable to consider where the location of a cloud-based service provider is located in relation to the daylight time. Thus, various data related to the power being utilized to power the cloud-based service provider location can be determined and utilized when comparing potential locations to deploy serverless functions. In some cases, a sustainability score can be generated based on this sustainability data and a sustainability profile that can be compared against other locations to determine the most suitable cloud-based service provider to deploy the serverless function onto.
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